Simulating the world for autonomous applications

Big Data Management Platform for Computer Vision

From Dataset to Training Set

CVEDIA is a free, cloud-based service that simplifies image dataset preparation and management.

We give you direct access to standardized versions of public image datasets such as Open Images, COCO, ImageNet, and SpaceNet. Using our open-source CLI tool, you can easily export your filters and augmentations to your local server in the format of your favorite machine learning framework including Torch, Caffe, TensorFlow, MXNet, Digits, Theano, and Deeplearning4J.

Whether it’s still images, video and associated telemetry, satellite, or biomedical, our tools will reduce training set creation time from days to minutes. Our platform was designed to prepare and manage images in the millions.

Each dataset along with its metadata is normalized for your convenience. Image augmentations along with metadata manipulations are done in real-time and online.

Our Metadata Query Language (MQL) editor selectively filters your images to ensure only those that you want will be exported to your local disk in the machine learning library of your choice. Annotation tools support virtually every possible computer vision application.

The ability to train large models fast to push the boundaries of what is possible with computer vision begins with high quality datasets. CVEDIA lets you create training sets quicker than with any other dataset management platform.

Datasets

We support many image sources including video, telemetry, biomedical, geospatial, multispectral, and SIFT.

Real-Time Image Augmentations

Choose from dozens of standard image transformations and apply them in real-time, in any order and quantity to a dataset.

Why Use CVEDIA?

A platform for computer vision applications that addresses the gruelling process of collecting, annotating, cleaning and managing your datasets from beginning to end. Regardless of your data source or application, our tools let you build training sets quicker than any other platform.